A software product line comprises a set of products implementing different configurations of features. The set of valid feature configurations within a product line can be described by a feature model. In some practical situations, a feature configuration needs to be derived in stages by creating a series of successive specializations of the initial feature model. In this paper, we consider the...

One of the first activities to develop a software product line is the feature analysis. This activity produces a feature model to represent commonalities and variabilities among products of a product line. Contextaware applications use context information to provide services and relevant information for their users. One of the challenges to build a context-aware product line is how to represent...

Contour lines are important for quantitatively displaying relief and identifying morphometric features on a map. Contour trees are often used to represent spatial relationships between contours and assist the user in analysing the terrain. However, automatic analysis from the contour tree is still limited as features identified on a map by sets of contours are not only characterised by local re...

This paper provides a tutorial and survey for a specific kind of illustrative visualization technique: feature lines. We examine different feature line methods. For this, we provide the differential geometry behind these concepts and adapt this mathematical field to the discrete differential geometry. All discrete differential geometry terms are explained for triangulated surface meshes. These ...

Feature analysis, which provides commonality and variability information of a product line, is essential for product line asset development. Moreover, feature binding information (i.e., when and how product features are included to products and delivered to customers) also drives product line component design. Feature binding can be examined from three perspectives: what features are bound (fea...

Fault classification in distance protection of transmission lines, with considering the wide variation in the fault operating conditions, has been very challenging task. This paper presents a probabilistic neural network (PNN) and new feature selection technique for fault classification in transmission lines. Initially, wavelet transform is used for feature extraction from half cycle of post-fa...